用普通摄像头精准测呼吸率，误差低于0.6次/分钟。
A Robust Camera-based Method for Breath Rate Measurement
- 结合数学变换算法，仅需普通摄像头
- 14人实验，平均绝对误差0.57次/分钟
- 抗动作干扰强，适合自由活动人群
廉价摄像头的普及使仅通过视频测量呼吸率成为可能。现有方法多在理想条件下测试，或精度不足。本文提出一种更鲁棒的呼吸率测量方法，仅需最低硬件要求，利用数学变换结合相对偏差小于5%。在14名志愿者拍摄的超2小时30分钟视频上验证，结果与参考数据对比，平均绝对误差为0.57次/分钟，显著优于此前工作。该方法对受试者移动引起的畸变更具抵抗力，可在不限制行为的前提下实现远程呼吸率测量。
原文摘要 · Abstract (English)
Proliferation of cheap and accessible cameras makes it possible to measure a subject's breath rate from video footage alone. Recent works on this topic have proposed a variety of approaches for accurately measuring human breath rate, however they are either tested in near-ideal conditions, or produce results that are not sufficiently accurate. The present study proposes a more robust method to measure breath rate in humans with minimal hardware requirements using a combination of mathematical transforms with a relative deviation from the ground truth of less than 5%. The method was tested on videos taken from 14 volunteers with a total duration of over 2 hours 30 minutes. The obtained results were compared to reference data and the average mean absolute error was found to be at 0.57 respirations per minute, which is noticeably better than the results from previous works. The breath rate measurement method proposed in the present article is more resistant to distortions caused by subject movement and thus allows one to remotely measure the subject's breath rate without any significant limitations on the subject's behavior.
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